Computer Vision Intern

As a Computer Vision Intern, you will be responsible for assisting in building and refining the image recognition pipeline. Your role will involve tasks such as dataset management, image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is completed, you will gain hands-on experience in model training, augmentation, and evaluation, directly contributing to our production-ready pipeline. Your responsibilities will include organizing, cleaning, and preprocessing large-scale retail image datasets, validating and managing annotations using tools like Roboflow, CVAT, or LabelImg, applying augmentation techniques, preparing datasets for training, supporting in training YOLOv5/YOLOv8-based models on custom datasets, running model evaluations, collaborating with the product team to enhance real-world inference quality, and documenting the dataset pipeline while sharing insights to improve data quality. We are looking for individuals who have a basic understanding of Computer Vision concepts such as Object Detection and Classification, familiarity with Python libraries like OpenCV, Pandas, NumPy, knowledge of image annotation tools like Roboflow, LabelImg, CVAT, and the ability to manage and organize large datasets. Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning), exposure to image augmentation techniques like Albumentations, understanding of retail/commercial shelf datasets or product detection problems, and previous internship or project experience in computer vision would be considered advantageous for this role.,